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atc help and log

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pull/178/head
lianghao 4 years ago
parent 4369336996
commit 8d8a281803
2 changed files with 29 additions and 30 deletions
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54
ge/offline/main.cc
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@ -67,19 +67,19 @@ static bool is_dynamic_input = false;
const char *const kGraphMemoryManagerMallocMaxSize = "8*1024*1024*1024";
const char *const kModeSupport = "only support 0(model to framework model), "
"1(framework model to json), 3(only pre-check), 5(pbtxt to json)";
const char *const kModelToJsonSupport = "only support 0(Caffe) 3(TensorFlow)";
const char *const kModelToJsonSupport = "only support 0(Caffe) 3(TensorFlow) 5(Onnx)";
// limit available mem size 2G
const long kMinAvailableMem = 2 * 1024 * 1024;
DEFINE_string(model, "", "The model file.");
DEFINE_string(output, "", "The output file path&name.");
DEFINE_int32(framework, -1, "Framework type(0:Caffe; 1:MindSpore; 3:Tensorflow).");
DEFINE_int32(framework, -1, "Framework type(0:Caffe; 1:MindSpore; 3:Tensorflow; 5:Onnx).");
DEFINE_string(weight, "", "Optional; weight file. Required when framework is Caffe.");
DEFINE_string(input_shape, "",
"Optional; shape of input data. Required when framework is caffe "
"or TensorFLow or MindSpore."
"or TensorFLow or MindSpore or Onnx. "
"Format: \"input_name1:n1,c1,h1,w1;input_name2:n2,c2,h2,w2\"");
DEFINE_bool(h, false, "show this help message");
DEFINE_string(cal_conf, "", "Optional; the calibration config file.");
@ -220,31 +220,29 @@ class GFlagUtils {
" --model Model file\n"
" --weight Weight file. Required when framework is Caffe\n"
" --om The model file to be converted to json\n"
" --framework Framework type. 0:Caffe; 1:MindSpore; 3:Tensorflow\n"
" --framework Framework type. 0:Caffe; 1:MindSpore; 3:Tensorflow; 5:Onnx\n"
" --input_format Format of input data. E.g.: \"NCHW\"\n"
" --input_shape Shape of input data. Separate multiple nodes with semicolons (;)."
" --input_shape Shape of input data. Separate multiple nodes with semicolons (;). "
"Use double quotation marks (\") to enclose each argument.\n"
" E.g.: \"input_name1:n1,c1,h1,w1;input_name2:n2,c2,h2,w2\"\n"
" --dynamic_batch_size Set dynamic batch size. E.g: \"batchsize1,batchsize2,batchsize3\"\n"
" --dynamic_image_size Set dynamic image size. Separate multiple nodes with semicolons (;)."
" --dynamic_batch_size Set dynamic batch size. E.g.: \"batchsize1,batchsize2,batchsize3\"\n"
" --dynamic_image_size Set dynamic image size. Separate multiple nodes with semicolons (;). "
"Use double quotation marks (\") to enclose each argument.\n"
" E.g: \"imagesize1_height,imagesize1_width;imagesize2_height,imagesize2_width\"\n"
" --dynamic_dims Set dynamic dims. Separate multiple nodes with semicolons (;)."
"Use double quotation marks (\") to enclose each argument. E.g: \"dims1_n1,dims1_n2;dims2_n1,dims2_n2\"\n"
" E.g.: \"imagesize1_height,imagesize1_width;imagesize2_height,imagesize2_width\"\n"
" --dynamic_dims Set dynamic dims. Separate multiple nodes with semicolons (;). "
"Use double quotation marks (\") to enclose each argument.\n"
" E.g.: \"dims1_n1,dims1_n2;dims2_n1,dims2_n2\"\n"
" --singleop Single op definition file. atc will generate offline "
"model(s) for single op if --singleop is set.\n"
"\n[Output]\n"
" --output Output file path&name(needn't suffix, will add "
".om automatically). \n"
" --output Output file path&name(needn't suffix, will add .om automatically). \n"
" If --singleop is set, this arg specifies the directory to "
"which the single op offline model will be generated\n"
" --output_type Set net output type. Support FP32, FP16, UINT8."
" --output_type Set net output type. Support FP32, FP16, UINT8. "
"E.g.: FP16, indicates that all out nodes are set to FP16.\n"
" \"node1:0:FP16;node2:1:FP32\", indicates setting the datatype of multiple out nodes.\n"
" --check_report The pre-checking report file. Default value is: "
"\"check_result.json\"\n"
" --json The output json file path&name which is "
"converted from a model\n"
" --check_report The pre-checking report file. Default value is: \"check_result.json\"\n"
" --json The output json file path&name which is converted from a model\n"
"\n[Target]\n"
" --soc_version The soc version.\n"
" --core_type Set core type AiCore or VectorCore. VectorCore: use vector core. "
@ -255,23 +253,22 @@ class GFlagUtils {
" --out_nodes Output nodes designated by users. Separate multiple nodes with semicolons (;)."
"Use double quotation marks (\") to enclose each argument.\n"
" E.g.: \"node_name1:0;node_name1:1;node_name2:0\"\n"
" --input_fp16_nodes Input node datatype is fp16. Separate multiple nodes with semicolons "
"(;)."
"Use double quotation marks (\") to enclose each argument."
" --input_fp16_nodes Input node datatype is fp16. Separate multiple nodes with semicolons (;)."
"Use double quotation marks (\") to enclose each argument. "
"E.g.: \"node_name1;node_name2\"\n"
" --insert_op_conf Config file to insert new op\n"
" --op_name_map Custom op name mapping file\n"
" Note: A semicolon(;) cannot be included in each "
"path, otherwise the resolved path will not match the expected one.\n"
" --is_input_adjust_hw_layout Intput node datatype is fp16 and format is "
"NC1HWC0, used with input_fp16_nodes E.g.: \"true,true,false,true\"\n"
"NC1HWC0, used with input_fp16_nodes. E.g.: \"true,true,false,true\"\n"
" --is_output_adjust_hw_layout Net output node datatype is fp16 and format is "
"NC1HWC0, used with out_nodes. E.g.: \"true,true,false,true\"\n"
"\n[Model Tuning]\n"
" --disable_reuse_memory The switch of reuse memory. Default value is : 0."
" --disable_reuse_memory The switch of reuse memory. Default value is : 0. "
"0 means reuse memory, 1 means do not reuse memory.\n"
" --fusion_switch_file Set fusion switch file path\n"
" --enable_scope_fusion_passes validate the non-general scope fusion passes,"
" --enable_scope_fusion_passes validate the non-general scope fusion passes, "
"multiple names can be set and separated by ','. E.g.: ScopePass1,ScopePass2,...\n"
" --enable_single_stream Enable single stream. true: enable; false(default): disable\n"
" --enable_small_channel Set enable small channel. 0(default): disable; 1: enable\n"
@ -282,20 +279,21 @@ class GFlagUtils {
" --precision_mode precision mode, support force_fp16(default), allow_mix_precision, "
"allow_fp32_to_fp16, must_keep_origin_dtype.\n"
" --auto_tune_mode Set tune mode. E.g.: \"GA,RL\", support configure multiple, spit by ,\n"
" --op_select_implmode Set op select implmode. Support high_precision, high_performance."
" --op_select_implmode Set op select implmode. Support high_precision, high_performance. "
"default: high_performance\n"
" --optypelist_for_implmode Appoint which op to select implmode, cooperated with op_select_implmode.\n"
" Separate multiple nodes with commas (,). Use double quotation marks (\") "
" to enclose each argument. E.g.: \"node_name1,node_name2\"\n"
"to enclose each argument. E.g.: \"node_name1,node_name2\"\n"
" --op_debug_level Debug enable for TBE operator building.\n"
" 0 (default): Disable debug; 1: Enable TBE pipe_all, "
"and generate the operator CCE file and Python-CCE mapping file (.json);\n"
" 2: Enable TBE pipe_all, generate the operator CCE file and Python-CCE mapping file "
"(.json), and enable the CCE compiler -O0-g.\n"
" 3: Disable debug, and keep generating kernel file (.o and .json)\n"
"\n[Debug]\n"
" --save_original_model Control whether to output original model. E.g.: true: output original model\n"
" --log Generate log with level. Support debug, info, warning, error, null\n"
" --dump_mode The switch of dump json with shape, to be used with mode 1."
" --dump_mode The switch of dump json with shape, to be used with mode 1. "
"0(default): disable; 1: enable.");
gflags::ParseCommandLineNonHelpFlags(&argc, &argv, true);
@ -506,9 +504,9 @@ class GFlagUtils {
// No framework information was passed in or the entered framework is illegal
ErrorManager::GetInstance().ATCReportErrMessage(
"E10007", {"parameter", "support"},
{"framework", "0(Caffe) or 1(MindSpore) or 3(TensorFlow)"});
{"framework", "0(Caffe) or 1(MindSpore) or 3(TensorFlow) or 5(Onnx)"});
DOMI_LOGE("Input parameter[--framework] is mandatory and it's value must be: "
"0(Caffe) or 1(MindSpore) or 3(TensorFlow).");
"0(Caffe) or 1(MindSpore) or 3(TensorFlow) or 5(Onnx).");
return domi::PARAM_INVALID;
}

5
ge/session/omg.cc
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@ -994,8 +994,9 @@ FMK_FUNC_HOST_VISIBILITY Status ConvertFwkModelToJson(const domi::FrameworkType
ErrorManager::GetInstance().ATCReportErrMessage(
"E10001", {"parameter", "value", "reason"},
{"--framework", std::to_string(framework), "only support 0(Caffe) 3(TensorFlow)"});
GELOGE(PARAM_INVALID, "Input parameter[--framework] is mandatory and it's value must be: 0(Caffe) 3(TensorFlow).");
{"--framework", std::to_string(framework), "only support 0(Caffe) 3(TensorFlow) 5(Onnx)"});
GELOGE(PARAM_INVALID, "Input parameter[--framework] is mandatory and it's value must be: 0(Caffe) 3(TensorFlow) "
"or 5(Onnx).");
return PARAM_INVALID;
}

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